# From Keywords to Structured Summaries: Streamlining Scholarly Information Access

arXiv: https://arxiv.org/abs/2402.14622 · HTML: https://mlsanity.com/paper/2402.14622/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 11 of its 43 references that are in the map.
- First posted on arXiv 22 Feb 2024.

## Builds on (most cited first, 11 of 11)

- [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://mlsanity.com/paper/1910.10683/) (2019)
- [Finetuned Language Models Are Zero-Shot Learners](https://mlsanity.com/paper/2109.01652/) (2021)
- [Scaling Instruction-Finetuned Language Models](https://mlsanity.com/paper/2210.11416/) (2022)
- [The Flan Collection: Designing Data and Methods for Effective Instruction Tuning](https://mlsanity.com/paper/2301.13688/) (2023)
- [Growth rates of modern science: A latent piecewise growth curve approach to model publication numbers from established and new literature databases](https://mlsanity.com/paper/2012.07675/) (2020)
- [Large Language Models for Scientific Information Extraction: An Empirical Study for Virology](https://mlsanity.com/paper/2401.10040/) (2024)
- [CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering](https://mlsanity.com/paper/2307.04683/) (2023)
- [From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards](https://mlsanity.com/paper/1704.01946/) (2017)
- [Use of Available Data To Inform The COVID-19 Outbreak in South Africa: A Case Study](https://mlsanity.com/paper/2004.04813/) (2020)
- [OUTBREAK: A user-friendly georeferencing online tool for disease surveillance](https://mlsanity.com/paper/2004.10490/) (2020)
- [SmartReviews: Towards Human- and Machine-actionable Reviews](https://mlsanity.com/paper/2107.03816/) (2021)

## Built on by (most cited first, 1 of 1)

- [Accelerating Scientific Discovery with Multi-Document Summarization of Impact-Ranked Papers](https://mlsanity.com/paper/2508.03962/) (2025)

## Abstract (arXiv)

This paper highlights the growing importance of information retrieval (IR) engines in the scientific community, addressing the inefficiency of traditional keyword-based search engines due to the rising volume of publications. The proposed solution involves structured records, underpinning advanced information technology (IT) tools, including visualization dashboards, to revolutionize how researchers access and filter articles, replacing the traditional text-heavy approach. This vision is exemplified through a proof of concept centered on the "reproductive number estimate of infectious diseases" research theme, using a fine-tuned large language model (LLM) to automate the creation of structured records to populate a backend database that now goes beyond keywords. The result is a next-generation information access system as an IR method accessible at https://orkg.org/usecases/r0-estimates.